Prevalence and determinants of dental caries experience among adolescents in Kazakhstan: a cross-sectional study
Anara Zhumadilova ( [email protected] ) Nazarbayev University https://orcid.org/0000-0001-7514-9705 Turgan Supiyev Kazakh Medical University Continuing Education Sholpan Abralina Semey Medical University Ardak Yeslyamgaliyeva Astana medical university Aizhan Kulmirzayeva Astana medical university Adil Supiyev Nazarbayev University National Laboratory Astana
Research article
Keywords: DMF, Adolescents, caries prevalence, socioeconomic determinants, dental health, Central Asia, Kazakhstan.
Posted Date: May 10th, 2020
DOI: https://doi.org/10.21203/rs.3.rs-25373/v1
License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License
Version of Record: A version of this preprint was published on February 15th, 2021. See the published version at https://doi.org/10.37290/ctnr2641-452X.19:388–397.
Page 1/19 Abstract
Background The information on dental caries experience and its determinants in Central Asia is limited. The aim of the present study was to provide estimates of the mean levels, prevalence and severity of dental caries, and to identify the factors associated with these characteristics in the population of school-aged children from four regions in Kazakhstan.
Methods We examined 2149 schoolchildren aged 11–15 years from 4 regions of Kazakhstan. The overall response rate was 68%. Dental caries experience was assessed clinically, and standardized questionnaire was used to gather sociodemographic and oral health behavior information. Caries experience was measured by using DMFT (decayed, missing, and flled teeth) index. Negative binomial hurdle regression model was used to assess the relationship between the caries experience and covariates.
Results The overall prevalence of dental caries was 74%, obvious decayed teeth was found in 44% of subjects, while only 6% had missing teeth and 24% had their teeth treated. The mean DMFT index was 2.48 among 12-year-olds and 3.9 among 15- year-olds. There were large differences of dental caries experience between the regions, with all indicators (decayed, missed and flled teeth) being less favourable in Semey region. The caries prevalence experience in the studied population was associated with higher age, geographic region, ethnicity, mother’s education, material deprivation, frequent consumption of sugar-added drinks, age of start brushing the teeth and dental attendance pattern. Age, region, ethnicity, dietary habits and dental attendance pattern were found to be signifcantly associated with the predicted degree of caries experience among those with caries experience.
Conclusions The high prevalence of dental caries and large differences in caries indices between the regions in Kazakhstan might be related to rapid westernization in the Central Asian region and associated nutrition transition. Also, the increasing burden of untreated caries in less advantaged populations was observed. Parent education and material deprivation may be a very important determinants of the oral health among adolescents in Kazakhstan.
Background
Caries is preventable condition, but still remains the most prevalent among the dental diseases (1, 2) resulting in expensive treatments and other negative consequences affecting the overall health (3). World Health Organization (WHO) stated that dental caries is pandemic mostly affecting schoolchildren with very high prevalence up to 90% (2, 3). Dental caries is a multifactorial disease, various factors contributing to tooth decay development in children was found at individual level, including oral health behaviours and dietary habits, (4, 5) as well as numerous studies demonstrated strong association of dental caries experience with socioeconomic markers. (6, 7). Many of these risk factors might be related to societal changes after the collapse of the Soviet Union, when the newly independent states faced a rapid nutrition transition shifting towards westernized diets and increased consumption of sugar-added drinks and foods (8–10). The implications of these rapidly changing behaviours is not only the high prevalence, but also more severe dental caries experience (5, 11). According to the WHO oral health surveillance databank (12) Kazakhstan had one of the highest DMFT index among 12-year-olds equal to 4.0 (2015), while neighbouring Russia had 2.5 (2008) and China had 0.9 (2015); in turn the DMFT index in some developed countries was as low as 0.5 in UK and 0.7 in Sweden (2017). This routine information in other Central Asian countries was not available. Providing the evidence on the rates of caries experience and associated factors are very important, since modifying these risk factors may provide great potential to prevent the disease in Central Asian region and elsewhere (13–16).
Despite the high prevalence of dental caries and the importance of oral health for the quality of live, aesthetics and treatment cost issues, there are very few reliable individual-level data on this condition in the Central Asian countries (6, 17).The best available information on dental caries in this region were either outdated (18, 19), or the methodology of clinical examination and statistical analysis of the results was unclear (20). Importantly, given the positively skewed distribution of DMFT scoring and a large number of zero values the appropriate statistical analyses should be considered for correct interpretation and understanding of caries risk factors (5, 11, 20). The aim of the present study was to provide estimates of the mean levels,
Page 2/19 prevalence and severity of dental caries, and to identify the factors associated with these characteristics in the population of school-aged children from four regions in Kazakhstan.
Methods Kazakhstan Adolescent Health Study
The dataset used for this study is the Kazakhstan Adolescent Health Study (KAHS) implemented by the Laboratory of Epidemiology and Public health at the National Laboratory Astana in Nazarbayev University in collaboration with University College London, UK. The study was mainly based on the protocol of the Health Behaviour in School-Aged Children study (HBSC) (21), a WHO Collaborative Cross-National study, covering 44 countries and focusing on understanding adolescents’ health in social context, the protocol was taken from the HBSC study after agreement with HBSC steering committee. For the dental health part of the KAHS study the Children’s Dental Health Survey (CDHS) protocol was adapted and included both, the questionnaires for schoolchildren and their parents (22, 23). Study population
The data for this cross-sectional survey were collected between 2014 and 2015. The target population was children between 11 and 15 years of age residing in the fve regions of Kazakhstan: Nur-Sultan (capital city) and Kokshetau (North of Kazakhstan), Oskemen (East of Kazakhstan), Semey (East of Kazakhstan) and Qaragandy. Qaragandy was not included in the current analysis as it did not have the data on dental examination. Two schools of two different types were selected in each region. One type of school was Nazarbayev Intellectual School (NIS), a special type of school owned by the government, but with a distinct private structure, designed specifcally for talented students. The second type of school was a regular public school, which serves the general population in each region. Both types of schools do not require any entry fees and are free of charge throughout the whole period of education.
Access to the parents of the adolescents in the target age group was achieved through parents-teacher meetings specially organized at each participating school. Parents were provided with oral and written information about the study prior being asked to consent for their child taking part in the study. Structured questionnaires contained sections on socio-demographic, socioeconomic, health, behavioural, and environmental information. Objective measurements were taken by trained staff and health professionals and included height, weight, waist and hip circumferences, blood pressure measurements, spirometry, swabs of buccal epithelium, hair samples and comprehensive dental health examination. In total, 2149 adolescents aged 11– 15 years participated in the study. The overall response rate was 68%. Clinical Examination
Clinical examination was carried out by 8 calibrated dentists in total, two in each participated region. Familiar adult, such as a school nurse or a teacher were present during the oral examination. All children were explained prior to examination about process of dental observation to reduce the anxiety. Each intra-oral clinical examination was performed with the child seated in a conventional school chair facing a window with sunlight access under standard conventional light with the dentist wearing a headlight. The examination was carried out using a sterilized, disposable set consisting of an illuminated mouth mirror and a blunt ball-ended probe with an end diameter of 0.5 mm (24). The assessments were performed only on cooperative basis to ensure the wellbeing of the children after parental approval. The dentist recorded the fndings for each child on the scoring sheet. Dental caries defnition
In our study the dental caries experience was measured by the number of decayed (into dentine), missing, and flled teeth (DMFT), where the maximum score of DMFT could be up to 28 (wisdom teeth were excluded due to uneruption) and the minimum score equal zero. The diagnostic “into-dentine” threshold was based on caries scores at the D3 level based on WHO classifcation of dental caries (4, 25), i.e., non-cavitated dentine lesions and cavitated dentin lesions. Socio-demographic characteristics Page 3/19 The socio-demographic and behaviour characteristics included age, sex, area of residence and several socioeconomic and demographic variables. The ethnicity of the child was self-reported and classifed as Kazakh, Russian and other. Marital status of parents was classifed as married or unmarried (widowed, divorced and single) and parental education was divided into school/secondary or less, vocational and university. Material deprivation was used as markers of the economic status and was self-reported in the parental questionnaire. Material deprivation was assessed by three questions (how often participants do not have enough money for food, clothes and paying bills for their households), and participants were classifed into three categories (high, intermediate and low). Dietary habits and oral health behaviour
Sugar added foods included questions on the consumption of cakes, biscuits, chocolate, and sweets, and sugary drinks included questions on the consumption fruit juices and carbonated soft drinks. Based on the frequency the sugar-added drinks consumption was grouped into three categories: “less than 1 time a day”, “once to three times per day”, and “four times or more per day”. Similarly, the frequency of sugar-added foods consumption was categorized as “less than 1 time a day”, “once to three times per day”, and “four times or more per day”. Frequency of tooth-brushing was classifed as “three or more” “twice a day”, and “one or less per day” while age when frst started to brush the teeth was categorized as “under 2 years”, 2–4 years”, and “over 4 years”. Pattern of dental visits was defned as “regular”, “occasional” or “never”. Ethics
The study protocol was approved by the ethical committee of the Centre for Life Sciences, Nazarbayev University. Permissions and approvals were also obtained from school administrative staff. Prior to participation, parents were provided with detailed information about the study in Kazakh and Russian languages. Written consent was obtained for each participant. Statistical analyses
In the descriptive analyses, unadjusted frequencies of all covariates (separately for socio-demographic and behaviour factors) were stratifed by DMF categories, mean caries experience, percentages of caries-free (DMFT = 0) participants were also reported. The Mann-Whitney U and Kruskal-Wallis tests were used to assess statistical signifcance, depending on the frequency distribution, the chi-square test was used for categorical variables.
The signifcant likelihood-ratio test of alpha (chi-square = 195.34, p < 0.0001) implied that the analysed data was over-dispersed and the use of negative binomial regression over Poisson regression was most accurate. A negative binomial hurdle model (NBH) was used to investigate the effect of selected variables on dental caries experience, which has recently been suggested as an accurate approach that has a better ft to these type of count data, accommodate many zero counts and has fewer misleading interpretations. Hurdle models have the advantage of estimating two separate parameters; one-part (logistic regression) models only zeros, and the second part (zero-truncated negative binomial regression) models the values over zero. The logistic regression model was generated for caries-free cases, predicting whether or not the child was in the “caries-free” group; as all zero values were modeled separately from the caries counts, the inferences for the caries-free prevalence was done directly for our study population. The association between outcome (caries-free individuals) and covariates (socio- demographic characteristics, dietary habits and oral health behaviours) were adjusted for age and sex, region and school type. (Table 3, column 2) An additional logistic regression model adjusting for all covariates was also estimated. (Table 3, column 3) The second part was generated to predict the greater caries experience for adolescents with dental caries experience. (Table 3, column 4) To adjust the standard errors so that they are robust to heteroscedasticity as well as autocorrelation within clusters the robust variance estimator was used. All analyses were performed using STATA software, version 14 (College Station, Texas, USA).
Page 4/19 Table 3 Association between the DMFT index and socio-demographic and behavioural factors in the negative binomial hurdle models Logistic regression Logistic regression Zero-truncated negative binomial regression Caries free is outcome (caries Caries free is outcome free = 1) (caries free = 1) (DMFT > 0 is outcome) Adjusted for age, sex, region & Adjusted for all variables in Adjusted for all variables in the school type the table table
1 2 3 4
OR (95% CI) OR (95% CI) IRR (95% CI)
Socio- demographics
Sex
Boys 1 1 1
Girls 0.86 (0.60–1.24) 0.84 (0.66–1.07) 1.04 (0.98–1.10)
Age
11 years 1 1 1
12 years 0.71 (0.43–1.17) 0.65 (0.53–0.80) * 1.00 (0.89–1.13)
13 years 0.86 (0.53–1.40) 0.75 (0.49–1.14) 1.24 (1.03–1.49) *
14 years 0.68 (0.51–0.92) * 0.55 (0.44–0.68) * 1.50 (1.30–1.72) *
15 years 0.48 (0.27–0.85) * 0.43 (0.26–0.72) * 1.57 (1.29–1.91) *
Region
Nur-Sultan 1 1 1
Kokshetau 0.90 (0.86–0.94) * 0.93 (0.84–1.02) 0.74 (0.70–0.78) *
Semey 0.16 (0.15–0.17) * 0.12 (0.10–0.15) * 1.40 (1.34–1.47) *
Oskemen 0.30 (0.27–0.35) * 0.34 (0.31–0.38) * 1.06 (1.01–1.11) *
School type
Special 1 1 1
Regular 1.01 (0.50–2.04) 0.94 (0.51–1.74) 1.08 (0.85–1.36)
Ethnicity
Kazakhs 1 1 1
Russians 1.93 (1.38–2.72) * 2.43 (1.46–4.05) * 1.09 (0.97–1.24)
Others 2.12 (2.02–2.23) * 2.03 (1.75–2.36) * 0.82 (0.70–0.97) *
Mother’s education
Higher 1 1 1
School/Secondary 0.99 (0.64–1.52) 0.62 (0.42–0.92) * 0.97 (0.85–1.11)
Vocational 1.04 (0.76–1.44) 0.89 (0.60–1.32) 1.02 (0.92–1.15)
Father’s education
Page 5/19 Logistic regression Logistic regression Zero-truncated negative binomial regression Caries free is outcome (caries Caries free is outcome free = 1) (caries free = 1) (DMFT > 0 is outcome)
Adjusted for age, sex, region & Adjusted for all variables in Adjusted for all variables in the school type the table table
Higher 1 1 1
School/Secondary 1.14 (0.76–1.72) 1.31 (0.88–1.95) 0.94 (0.86–1.03)
Vocational 1.23 (1.11–1.35) * 1.13 (0.95–1.33) 0.90 (0.83–0.98)
Parent marital status
Married 1 1 1
Unmarried 1.27 (1.09–1.49) * 1.48 (0.82–2.68) 0.95 (0.75–1.20)
Deprivation level
Highly deprived 1 1 1
Intermediate 1.40 (1.15–1.70) * 1.42 (1.05–1.90) * 0.98 (0.92–1.06)
Less deprived 1.10 (0.92–1.33) 1.17 (1.06–1.29) * 1.00 (0.98–1.02)
Behavioural factors
Daily sugar drinks
< 1 time a day 1 1 1
1–3 times a day 0.82 (0.62–1.09) 0.80 (0.50–1.28) 1.04 (0.96–1.13)
> 3 times a day 0.64 (0.51–0.80) * 0.55 (0.36–0.86) * 0.91 (0.84-1.00) *
Daily sugar foods
< 1 time a day 1 1 1
1–3 times a day 0.96 (0.84–1.10) 1.03 (0.80–1.31) 0.97 (0.95–0.99) *
> 3 times a day 1.00 (0.75–1.33) 0.99 (0.71–1.37) 1.14 (1.04–1.25) *
Age start brushing
Under 2 years 1 1 1
2–4 years 0.68 (0.49–0.97) * 0.71 (0.46–1.09) 1.06 (0.96–1.18)
Over 4 years 0.66 (0.42–1.03) 0.67 (0.41–1.09) 1.03 (0.97–1.09)
Brushing frequency
Three or more 1 1 1
Two times 0.92 (0.50–1.70) 0.92 (0.47–1.80) 0.97 (0.91–1.03)
One or less 0.99 (0.63–1.54) 0.97 (0.57–1.67) 0.88 (0.73–1.07)
Dentist visits
Regular 1 1 1
Occasional 1.29 (0.95–1.75) * 1.46 (1.08–1.98) * 0.96 (0.88–1.05) *
Page 6/19 Logistic regression Logistic regression Zero-truncated negative binomial regression Caries free is outcome (caries Caries free is outcome free = 1) (caries free = 1) (DMFT > 0 is outcome) Adjusted for age, sex, region & Adjusted for all variables in Adjusted for all variables in the school type the table table
Never 2.93 (1.46–5.89) * 3.80 (1.90–7.59) * 0.74 (0.63–0.87) *
Results
Table 1 shows the DMFT status and mean DMFT scores classifed by socio-demographic characteristics of the school-based samples of adolescents’ population in the four distinct regions in Kazakhstan. The age of the participants was between 11– 15 years. A total of 2149 children were included in the analysis, the majority were females (n = 1186), from Nur-sultan region (n = 721), of Kazakh ethnicity (n = 1798) and in special schools (n = 1325). The parents’ higher education level was the most frequently reported category, more common among mother’s (n = 1431) compared to fathers (n = 1173). Very few parents (n = 315) reported their marital status to be unmarried and based on selected socioeconomic marker only small number of participants were classifed to be in highly deprived group (n = 296).
Page 7/19 Table 1 Socio-demographic characteristics associated with dental caries experience measured by DMFT index in Kazakhstan †N (n) DMFT *p- DMFT *p- Caries **p- Decayed Missing Filled value > 0 value free value mean % (CI) % (CI) % (CI) (SD) mean % (CI) (SD)
Overall 2149 3.09 4.20 26.4 44.0 6.0 23.6 (1,582) (3.06) (2.84) (24.6– (41.9– (5.1– (21.9– 28.3) 46.1) 7.1) 25.5)
Sex 0.0765 0.4443 0.096
Boys 963 2.97 4.13 28.1 44.3 5.4 22.1 (692) (3.00) (2.79) (25.4– (41.2– (4.1- (19.6– 31.1) 47.5) 7.0) 24.9)
Girls 1186 3.19 4.26 25.0 43.7 6.5 24.9 (890) (3.11) (2.89) (22.6– (40.9– (5.2- (22.5– 27.5) 46.5) 8.0) 27.4)
Age 0.0001 0.0001 0.103
11 years 189 2.36 3.46 31.7 45.0 3.7 19.6 (129) (2.28) (1.94) (25.5– (38.0- (1.8– (14.5– 38.7) 52.1) 7.6) 25.9)
12 years 542 2.48 3.36 26.2 43.2 4.1 26.6 (400) (2.29) (2.04) (22.7– (39.1– (2.7– (23.0- 30.1) 47.4) 6.1) 30.5)
13 years 532 2.94 4.12 28.6 43.2 6.2 22.0 (380) (2.91) (2.64) (24.9– (39.1– (4.4– (18.7– 32.6) 47.5) 8.6) 25.7)
14 years 555 3.60 4.82 25.2 45.4 6.5 22.9 (415) (3.46) (3.19) (21.8– (41.3– (4.7– (19.6– 29.0) 49.6) 8.9) 26.6)
15 years 331 3.90 5.01 22.1 43.5 9.4 25.1 (258) (3.70) (3.47) (17.9– (38.2– (6.7– (20.7– 26.9) 48.9) 13.0) 30.0)
Region 0.0001 0.0001 0.000
Nur-Sultan 721 2.45 3.98 38.3 30.1 2.8 28.8
(445) (3.02) (2.95) (34.8– (26.9– (1.8– (25.7– 41.9) 33.6) 4.3) 32.3)
Notes: DMFT - into-dentin Decayed, Missing, and Filled permanent teeth,
† N is the total number of participants; and in brackets is the number of participants with DMFT > 0;
* p-value were obtained using Mann-Whitney-Wilcoxon test for two groups; and Kruskal-Wallis H test for more than two groups;
** p-value were obtained using Pearson’s chi-square test (proportion of caries free individuals; i.e. DMFT = 0);
Page 8/19 †N (n) DMFT *p- DMFT *p- Caries **p- Decayed Missing Filled value > 0 value free value mean % (CI) % (CI) % (CI) (SD) mean % (CI) (SD)
Kokshetau 463 1.88 2.96 36.5 36.5 7.1 19.9 (294) (2.11) (1.96) (32.2– (32.2– (5.1– (16.5– 41.0) 41.0) 9.9) 23.8)
Semey 551 4.80 5.30 9.4 69.9 10.2 10.5 (499) (3.23) (2.98) (7.3– (65.9– (7.9– (8.2– 12.2) 73.6) 13.0) 13.4)
Oskemen 414 3.29 3.96 16.9 42.0 4.8 36.2 (344) (2.78) (2.58) (13.6– (37.4– (3.1– (31.7– 20.8) 46.9) 7.4) 41.0)
School type 0.7965 0.5159 0.387
Special 1325 3.07 4.13 25.7 42.6 5.1 26.6 (984) (2.98) (2.75) (23.5– (39.9– (4.0- (24.3– 28.2) 45.2) 6.4) 29.1)
Regular 824 3.13 4.32 27.4 46.2 7.5 18.8
(598) (3.19) (2.98) (24.5– (42.9– (5.9– (16.3– 30.6) 49.7) 9.5) 21.6)
Ethnicity 0.0001 0.1592 < 0.0001
Kazakh 1798 3.21 4.23 24.2 44.5 6.3 25.0 (1,363) (3.08) (2.86) (22.2– (42.3– (5.3– (23.0– 26.2) 46.9) 7.5) 27.0)
Russian 237 2.70 4.16 35.0 45.1 4.6 15.2 (154) (3.04) (2.85) (29.2– (38.9– (2.6– (11.2– 41.3) 51.5) 8.2) 20.4)
Others 114 2.04 3.58 43.0 32.5 4.4 20.2 (65) (2.55) (2.42) (34.2– (24.5– (1.8– (13.8– 52.3) 41.6) 10.1) 28.6)
Mother’s 0.0014 0.0414 0.030 education
Higher 1431 3.03 4.09 25.9 41.7 5.0 27.5 (1,061) (2.99) (2.78) (23.7– (39.2– (3.9– (25.2– 28.2) 44.3) 6.2) 29.8)
Notes: DMFT - into-dentin Decayed, Missing, and Filled permanent teeth,
† N is the total number of participants; and in brackets is the number of participants with DMFT > 0;
* p-value were obtained using Mann-Whitney-Wilcoxon test for two groups; and Kruskal-Wallis H test for more than two groups;
** p-value were obtained using Pearson’s chi-square test (proportion of caries free individuals; i.e. DMFT = 0);
Page 9/19 †N (n) DMFT *p- DMFT *p- Caries **p- Decayed Missing Filled value > 0 value free value mean % (CI) % (CI) % (CI) (SD) mean % (CI) (SD)
School/Secondary 150 3.41 4.30 20.7 54.7 8.0 16.7 (119) (3.03) (2.78) (14.9– (46.6– (4.6– (11.5– 27.9) 62.5) 13.6) 23.5)
Vocational 418 3.67 4.60 20.1 52.6 10.0 17.2 (334) (3.29) (3.05) (16.5– (47.8– (7.5– (13.9– 24.2) 57.4) 13.3) 21.2)
Father’s education 0.0179 0.1519 0.085
Higher 1173 3.16 4.21 24.8 41.3 5.3 28.6 (882) (3.08) (2.87) (22.4– (38.5– (4.1– (26.1– 27.4) 44.1) 6.7) 31.3)
School/Secondary 181 3.73 4.54 17.7 64.6 7.2 10.5 (149) (2.99) (2.68) (12.8– (57.4– (4.2– (6.8– 24.0) 71.3) 12.0) 15.9)
Vocational 419 3.26 4.19 22.2 51.3 7.9 18.6 (326) (3.05) (2.84) (18.5– (46.5– (5.6– (15.2– 26.4) 56.1) 10.9) 22.6)
Parent Marital 0.0010 0.0314 0.011 status
Married 1,695 3.27 4.25 23.2 46.1 6.1 24.6
(1302) (3.07) (2.84) (21.2– (43.8– (5.0- (22.6– 25.3) 48.5) 7.3) 26.7)
Unmarried 315 2.76 3.93 29.8 39.7 7.0 23.5 (221) (3.03) (2.90) (25.0- (34.4– (4.6– (19.1– 35.1) 45.2) 10.4) 28.5)
Deprivation level 0.7157 0.5037 0.159
Highly deprived 296 3.36 4.23 20.6 54.1 6.8 18.6 (235) (3.33) (3.20) (16.4– (48.3– (4.4– (14.5– 25.6) 59.7) 10.2) 23.4)
Intermediate 669 3.17 4.30 26.3 42.6 7.9 23.2 (493) (3.09) (2.84) (23.1– (38.9– (6.1– (20.1– 29.8) 46.4) 10.2) 26.5)
Notes: DMFT - into-dentin Decayed, Missing, and Filled permanent teeth,
† N is the total number of participants; and in brackets is the number of participants with DMFT > 0;
* p-value were obtained using Mann-Whitney-Wilcoxon test for two groups; and Kruskal-Wallis H test for more than two groups;
** p-value were obtained using Pearson’s chi-square test (proportion of caries free individuals; i.e. DMFT = 0);
Page 10/19 †N (n) DMFT *p- DMFT *p- Caries **p- Decayed Missing Filled value > 0 value free value mean % (CI) % (CI) % (CI) (SD) mean % (CI) (SD)
Less deprived 1024 3.14 4.14 24.1 44.2 5.1 26.6 (777) (2.98) (2.75) (21.6– (41.2– (3.9– (23.9– 26.8) 47.3) 6.6) 29.4)
Notes: DMFT - into-dentin Decayed, Missing, and Filled permanent teeth,
† N is the total number of participants; and in brackets is the number of participants with DMFT > 0;
* p-value were obtained using Mann-Whitney-Wilcoxon test for two groups; and Kruskal-Wallis H test for more than two groups;
** p-value were obtained using Pearson’s chi-square test (proportion of caries free individuals; i.e. DMFT = 0);
Dental caries experience was measured using DMFT status and mean DMFT index in the analysis. Additionally, the mean DMFT scores in adolescents with DMFT > 0 were calculated. Caries-free subjects represented only 26%, almost half (44%) of the examined subjects had obvious decayed teeth experience, while 6% had missing and 24% – flled teeth. 26% of caries-free adolescents among 12-year-olds vs. 22% among 15-year-olds were observed in the study, the mean DMFT score for 12- and 15- year-olds was 2.5 and 3.9 respectively. While the number of the obvious decay experience and treated teeth (flled) were very similar between 12 and 15 years-olds, there were twice the difference in the proportions of missing teeth between these two age groups, 4% among 12-year-olds and 9% among 15-year-olds. The distribution of DMFT status across regions demonstrated that Nur-Sultan (38%) and Kokshetau (37% ) regions had considerably higher proportion of caries-free children, however the treatment levels (flled teeth) were the highest in Oskemen region; besides the lowest mean DMFT score was in Kokshetau region (1.9) and contrarily the highest score was in Semey region (4.8). Despite small differences of obvious decay experience between regular (46%) and special (43%) schools, there were large gap in treatment levels, 19% in regular vs. 27% in special schools. There were also marked differences in DMFT status between adolescents’ ethnical groups: in spite of higher proportion of caries free participants among Russians (35%) compared to Kazakhs (24%), there were opposite results of treatment levels between the groups, 15% in Russians vs. 25% in Kazakhs. Consistently for both parents the higher education level was slightly advantageous, with more caries free children and much higher treatment levels.
Table 2 represents the DMFT status and mean DMFT index by oral health behaviour factors. Children’s caries experience varied by behaviour factors; those who reported frequent added sugar diets (over 3 times a day) such as daily sugar drinks and daily sugar foods, had less caries-free adolescents (21% and 24% respectively) and higher DMFT scores (3.1 and 3.6 respectively) compared to those who consumed sugar diets less frequently (less than 1 time a day). Adolescents who reported regular dental visits had lower prevalence of caries free teeth (23%) and higher DMFT index (3.3) as well as more flled teeth (35%) compared to those who reported occasional or no visits at all. Age when start brushing teeth were more consistent marker of oral health compared to daily brushing frequency, both DMFT index and DMFT status showed large gap between early and late start of toothbrushing, 2.8 vs 3.4 DMFT score and 31% vs 20% of caries-free subjects respectively.
Page 11/19 Table 2 Lifestyle behaviour factors associated with dental caries experience measured by DMFT index in Kazakhstan † N (n) DMFT *p- DMFT *p- Caries **p- Decayed Missing Filled value > 0 value free value mean % (CI) % (CI) % (CI) (SD) mean % (CI) (SD)
Daily sugar 0.1605 0.8116 0.072 drinks
< 1 time a day 755 2.93 4.11 28.9 42.4 4.2 24.5
(537) (2.96) (2.72) (25.7– (38.9– (3.0- (21.6– 32.2) 45.9) 5.9) 27.7)
1–3 times a 1232 3.19 4.28 25.6 43.8 6.7 23.9 day (917) (3.18) (2.98) (23.2– (41.1– (5.5– (21.6– 28.1) 46.6) 8.3) 26.3)
> 3 times a day 162 3.13 3.96 21.0 52.5 8.6 17.9 (128) (2.62) (2.32) (15.4– (44.8– (5.2– (12.7– 28.0) 60.1) 14.1) 24.6)
Daily sugar 0.0243 0.0337 0.209 foods
< 1 time a day 885 2.95 4.11 28.2 39.9 5.0 26.9 (635) (2.97) (2.75) (25.4– (36.7– (3.7– (24.1– 31.3) 43.2) 6.6) 29.9)
1–3 times a 943 3.05 4.10 25.6 45.5 6.3 22.7 day (702) (2.99) (2.78) (22.9– (42.3– (4.9- (20.1– 28.4) 48.7) 8.0) 25.5)
> 3 times a day 321 3.60 4.71 23.7 50.8 8.1 17.4 (245) (3.44) (3.20) (19.3– (45.3– (5.6– (13.7– 28.6) 56.2) 11.6) 22.0)
Age start 0.0001 0.1227 < brushing 0.0001
Under 2 years 703 2.80 4.03 30.6 38.7 4.7 26.0 (488) (3.00) (2.82) (27.3– (35.2– (3.4– (22.9– 34.1) 42.4) 6.5) 29.4)
2–4 years 876 3.34 4.26 21.5 47.1 6.5 24.9 (688) (3.11) (2.91) (18.8– (43.9– (5.1– (22.1– 24.3) 50.5) 8.3) 27.9)
Over 4 years 429 3.44 4.29 19.8 51.3 8.2 20.7
(344) (3.00) (2.76) (16.3– (46.5– (5.9– (17.2– 23.9) 56.0) 11.2) 24.9)
Notes: DMFT - into-dentin Decayed, Missing, and Filled permanent teeth,
† N is the total number of participants; and in brackets is the number of participants with DMFT > 0;
* p-value were obtained using Mann-Whitney-Wilcoxon test for two groups; and Kruskal-Wallis H test for more than two groups;
** p-value were obtained using Pearson’s chi-square test (proportion of caries free individuals; i.e. DMFT = 0);
Page 12/19 † N (n) DMFT *p- DMFT *p- Caries **p- Decayed Missing Filled value > 0 value free value mean % (CI) % (CI) % (CI) (SD) mean % (CI) (SD)
Daily brushing 0.0242 0.0206 0.367 frequency
Three or more 269 3.41 4.59 25.7 44.2 5.6 24.5
(200) (3.43) (3.22) (20.8– (38.4– (3.4– (19.8– 31.2) 50.2) 9.1) 30.0)
Two times 1,218 3.19 4.28 25.5 43.5 5.7 25.3 (908) (3.12) (2.90) (23.1– (40.8– (4.6– (22.9– 28.0) 46.3) 7.2) 27.8)
One or less 662 2.79 3.89 28.4 44.7 6.6 20.2 (474) (2.76) (2.52) (25.1– (41.0- (5.0- (17.3– 32.0) 48.5) 8.8) 23.5)
Dentist visits 0.0095 0.4167 0.008
Regular 492 3.34 4.32 22.8 37.6 4.3 35.4
(380) (3.13) (2.90) (19.3– (33.4– (2.8– (31.3– 26.7) 42.0) 6.5) 39.7)
Occasional 1552 3.05 4.17 26.8 45.5 6.6 21.1 (1136) (3.05) (2.83) (24.7– (43.0– (5.5- (19.1– 29.1) 48.0) 8.0) 23.2)
Never 105 2.52 4.02 37.1 51.4 4.8 6.7
(66) (2.88) (2.68) (28.4– (41.9– (2.0– (3.2- 46.8) 60.9) 11.0) .13.4)
Notes: DMFT - into-dentin Decayed, Missing, and Filled permanent teeth,
† N is the total number of participants; and in brackets is the number of participants with DMFT > 0;
* p-value were obtained using Mann-Whitney-Wilcoxon test for two groups; and Kruskal-Wallis H test for more than two groups;
** p-value were obtained using Pearson’s chi-square test (proportion of caries free individuals; i.e. DMFT = 0);
Table 3 summarizes the results of adjusted odds ratio (OR) and incidence rate ratio (IRR) obtained using the negative binomial hurdle model and presented separately for the logistic and zero-truncated negative binomial parts. The logistic regression part was represented by two models, frst model adjusted for age, sex, region and school type, second model was adjusted for all socio-demographic factors including selected socioeconomic markers and major behavioural factors pertinent for oral health.
In adjusted model, the prevalence of caries was associated with higher age, geographic region, ethnicity, material deprivation frequent consumption of sugar-added drinks, age of start brushing the teeth and dental attendance pattern. Multivariable analysis of caries prevalence (Table 3, column 3) largely confrmed these fndings, except that the association with ethnicity, material deprivation, mother’s education level and frequent consumption of sugar-added drinks were increased, while age of start brushing the teeth was attenuated.
Further, in the second part of the NBH model several factors were found to be signifcantly associated with the predicted degree of caries experience among those with caries experience. The predicted degree of caries experience was gradually increased by age, up to 1.57 (95% CI: 1.29–1.91) times higher for those at the age of 15 years old compared to the youngest age group,
Page 13/19 however the difference was not signifcant between 11 and 12 years-olds. The variations between the regions were consistent with the frst logit part of the model and represented the large differences between the regions, with marginally higher adjusted DMFT index in Oskemen region, 1.06 (95% CI: 1.01–1.11) and the highest score in Semey region, 1.41 (95% CI: 1.29–1.91) times higher than in Nur-Sultan region, it also confrmed the lower adjusted DMFT index in Kokshetau region compared to neighbouring capital region, 0.73 (95% CI: 0.70–0.77). Despite, no signifcant effect was found for Russians, adolescents of other than Kazakh and Russian ethnical groups had an adjusted DMFT index that was 0.82 (95% CI: 0.69–0.97) times lower than that observed among Kazakhs.
Again, the signifcant effects were found for some behaviour risk factors. While adolescents who reported most frequent daily sugar drinks consumption had slightly lower 0.91 (95% CI: 0.83-1.00) times lower the predicted degree of caries experience compared to those with less frequent levels; frequent daily sugar foods also had signifcant effect on DMFT index, those who reported frequent daily sugar had 1.14 (95% CI: 1.04–1.24) times higher DMFT index compared to reference group. Furthermore, adolescents who reported occasional or no dental visits had an adjusted DMFT index that was 0.96 (95% CI: 0.88–1.05) and 0.74 (95% CI: 0.63–0.86) times lower than that observed in those who reported regular visits.
Discussion
In this school-based cross-sectional study of adolescents’ population from the four regions in Kazakhstan, we found the overall prevalence of dental caries of 74% out of which 44% of subjects had obvious decayed teeth experience, while only 6% had missing teeth and 24% had their teeth treated (flled). The mean DMFT index was 2.48 among 12-year-olds and 3.9 among 15- year-olds. There were large differences of dental caries experience between the regions, with all indicators (decayed, missed and flled teeth) being less favourable in Semey region. Most associations of having no caries with covariates were in expected direction, the caries prevalence experience in our population was associated with higher age, geographic region, ethnicity, material deprivation frequent consumption of sugar-added drinks, age of start brushing the teeth and dental attendance pattern. Age, region, ethnicity, dietary habits and dental attendance pattern were found to be signifcantly associated with the predicted degree of caries experience among those with caries experience.
The prevalence of dental caries in our study was higher than in many developed (4, 22, 23) and some developing countries (12), but our results were very similar to other post-soviet countries. The prevalence of caries among 12-year-olds in Kazakhstan (73.8%) was roughly analogous to Moldova (77.5%), Russia (77.5%) and Georgia (68.9%) [(26–28)], and slightly lower compared to Lithuania (85.5%), Belarus (85%) and Latvia (91.2%) [(29–31)]. The 15-year-olds from Kazakhstan had higher prevalence of caries (77.9%) compared to another Central Asian country Uzbekistan (68%) (32), but lower than Moldova (86.2%), Russia (91.8%), Georgia (82.3%) and Armenia (90.8%) (26–28, 33). These similarities might be explained by the common challenges in transition period after the dissolution of the Soviet Union, when the access to public dental services for children dropped dramatically and dental healthcare became mostly private. Concurrently, the rapid increase in the availability of sugar-sweetened beverages and refned carbohydrate foods largely contributed to dental caries experience (34, 35).
The results of our study should be interpreted in view of several limitations. Firstly, the cross-sectional study design may not be appropriate way to estimate the causal relationships, yet the age of starting to brush the teeth or parent socio-demographic factors is likely to precede the development of the outcome, however we are less confdent about the remaining covariates. Secondly, the response rate in this study was moderate (68%), however many recent studies in both developed and developing countries reported roughly the same percentage (8, 9, 23, 36). The moderate response rates may lead to both under- and overestimation of caries prevalence, but usually non-responders in dental health studies have poorer oral health than responders (37). The response rates were slightly higher in special schools, but the difference was not sufcient to introduce the selection bias. Third, adjustment for potential confounders may be incomplete; for example, the sources of fuoride were not identifed in this study, which could have modifed the results (38), urban-rural differences would also be another interesting aspect to consider in the future research.
The inclusion of two cities in each geographic area in this study was made intentionally to represent more afuent and larger urban centres as well as smaller peripheral cities, for example Nur-Sultan (the capital city) and Kokshetau in the North of
Page 14/19 Kazakhstan, and Oskemen (regional administrative centre) and Semey in the East of Kazakhstan region. The odds of observing no caries experience was signifcantly lower for adolescents who resided in the East-Kazakhstan region, with the lowest odds in Semey city. Besides, residing in Semey city contributed signifcantly to the amount of caries; in the count part of NBH model the adjusted rate ratio was 1.41, while the difference between the capital city and regional administrative centre Oskemen was rather modest, 1.06. The lower levels of caries experience and caries severity in particular in the capital city and neighbouring Kokshetau could be attributed to a wealthier population in this region compared to East-Kazakhstan, with better access to dental health services and more sophisticated system of private dental health care, the similar trend was observed in other developing countries (39). Further, the level of treatment (flled teeth) in both Nur-Sultan and Oskemen region were very high compared to their counterparts Kokshetau and Semey, while the proportion of missing teeth in these smaller peripheral settings exceeds that in large urban centres more than twice. The reduced public provision of dental services in less developed settings might increase the treatment needs (34), also the lack of oral health awareness among parents and poor health seeking behaviours might be another cause (34, 40).
Our fndings on association of caries experience and its degree with oral health behaviours were consistent with previous research (36, 41, 42). Many recent studies showed strong association of dental caries experience with a frequent consumption of sugar-added foods and drinks, the behaviours that usually acquired in early childhood (43, 44). In our study frequent consumption of sugar-added drinks were strongly associated with lower prevalence of carries-free individuals, though it had opposite effect on caries severity in zero-truncated negative binomial model. On the other hand, frequent consumption of sugar- added foods showed its strong effect on caries severity, while no association was found with caries prevalence.
Although the tooth brushing is considered to be highly effective (5, 36, 42) and widely available and affordable method associated with prevention of dental caries (45), it wasn’t associated with both caries experience and caries severity in our study. By contrast, the association of dental caries experience with age when children were accustomed to brush the teeth was signifcant and benefted those who adapted the habit earlier in life, this was reported previously in the literature (5, 42). Interestingly, the regular dental attendance pattern was strongly associated with the higher DMFT which undoubtedly may suggest that dental services are focused on treatment in the studied region rather than prevention, as stated in some studies (11, 39). Besides, the rare dental visits and lower treatment level were mostly observed in unmarried parents, parents with lower education level and highly deprived group with limited access to private dental care especially in less advantaged regions.
Disparities in adolescent’s health according to socio-economic status are often reported (14, 15, 23). Our study results of the effect of material deprivation on oral health inequalities was observed only in individuals who were disease free. The difference in prevalence of caries free individuals for each level of material deprivation wasn’t incremental, with smaller difference between highly deprived and less deprived groups. This may suggest that there are some similarities in adverse oral health behaviours between these two groups (14, 34, 39), however, as already mentioned, the level of treatment was much lower in highly deprived group. The caries experience was also varying among study ethnic groups with almost three-fold increase of caries-free individuals among Russians compared to Kazakhs in the fully-adjusted model, which may refect the differences in lifestyle and particularly in nutrition, since the traditional Kazakh diet includes high consumption of energy-dense foods; on the contrary the caries severity was marginally (9%) higher in Russians compared to Kazakhs, in addition, the treatment component of DMFT was also much lower among ethnic Russians.
Conclusion
The high prevalence of dental caries and large differences in caries indices between the regions in Kazakhstan might be related to rapid westernization in the Central Asian region and associated nutrition transition. Also, the increasing burden of untreated caries in less advantaged populations was observed. Parent education and material deprivation may be a very important determinants of the oral health among adolescents in Kazakhstan.
Abbreviations
CDHS
Page 15/19 Children’s Dental Health Survey; FDI World Dental Association, WHO World Health Organization KAHS Kazakhstan Adolescent Health Study DMFT Decay, Missed, Filled teeth
Declarations
Ethics approval and consent to participate
The study protocol was approved by the ethical committee of the Centre for Life Sciences, Nazarbayev University. Permissions and approvals were also obtained from school administrative staff. Prior to participation, parents were provided with detailed information about the study in Kazakh and Russian languages. Written informed consent was obtained from a parent or guardian for participants under 16 years old.
Consent for publication
Not applicable
Availability of data and material
The datasets used and analysed during the current study are available from the corresponding author on reasonable request.
Competing interests
The authors declare that they have no competing interests.
Funding
This work was supported the research grant titled “Study of biomarkers associated with oral cavity diseases among the adolescents from different region of Kazakhstan” of the Ministry of Science and Education of the Republic of Kazakhstan (# АР05132694). The funding body had no role in the design of the study, data collection, analysis and interpretation of results, nor in the writing of the manuscript.
Page 16/19 Authors' contributions
AZ and AS jointly designed the study, analysed the data, drafted and fnalized the manuscript. AY and SA helped to conduct feld work, recruiting of participants and clinical dental examination and critically revised the manuscript. TS and AK contributed to data analysis and critically revised the manuscript. All authors have read and approved the fnal manuscript.
Acknowledgements
The authors are grateful for administrative and medical staff of schools in Nur-Sultan, Kokshetau, Semey and Oskemen regions of Kazakhstan that participated in Kazakhstan Adolescent Health Study for their important contributions.
References
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